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Remote Supercomputer Jobs (NOW HIRING)

NextSilicon

HPC Field Applications Engineer

Austin, TX · On-site +1

... supercomputers, driving them forward into a new generation. Our new software-defined hardware ... Location : Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote ...

Nvidia

Manager, First Time Deployment - NVIS

Track record leading bring-up and deployment of large clusters or supercomputing environments ... We are open to remote work location and look forward to have you join our team! Your base salary ...

PsiQuantum

Intern, Quantum Architecture

Brisbane, CA · On-site +1

$27.50/hr

... advanced supercomputers or AI systems will never reach. Their impact will span energy ... remote positions. Location options will be dependent on the internship project topic. The ...

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Remote Supercomputer information

What is a remote supercomputer?

Remote supercomputers are powerful computing systems that can be accessed and operated over the internet or a network, rather than requiring physical presence at their location. These systems allow researchers, scientists, and engineers to run complex simulations, analyze large datasets, and perform high-performance computations from anywhere in the world. Remote access to supercomputers is typically managed through secure protocols, specialized software, and user authentication to ensure data security and efficient resource allocation. This setup enables collaboration across institutions and accelerates scientific discovery by making advanced computational resources more widely available.

What skills and qualifications are needed to work with remote supercomputers?

To thrive as a Remote Supercomputer Operator, you need expertise in high-performance computing (HPC), system administration, and a relevant degree in computer science or engineering. Familiarity with operating systems like Linux, cluster management tools (e.g., SLURM), and parallel programming frameworks is typically required. Strong problem-solving, attention to detail, and effective communication skills set top operators apart. These competencies are crucial for maintaining system uptime, optimizing performance, and supporting users in complex computational environments.

What are common challenges faced by professionals working with remote supercomputers, and how can they be addressed?

Professionals working with remote supercomputers often encounter challenges such as network latency, data transfer bottlenecks, and the need for efficient job scheduling. To address these, it's important to familiarize yourself with optimized data management practices and use appropriate file transfer tools. Additionally, collaborating closely with system administrators and leveraging user support resources can help resolve technical issues quickly. Staying updated on best practices and system upgrades is also key to maintaining productivity in this dynamic environment.

What is the difference between Remote Supercomputer vs Remote Data Scientist?

AspectRemote SupercomputerRemote Data Scientist
Required CredentialsAdvanced degrees in computer science, high-performance computing certificationsDegree in data science, statistics, or related fields; certifications like CAP or Microsoft Certified Data Scientist
Work EnvironmentAccess to high-performance computing clusters, specialized hardwareData analysis platforms, cloud services, programming environments
Industry UsageResearch institutions, scientific computing, large-scale simulationsTech companies, finance, healthcare, marketing analytics
Common Search/ComparisonHigh-performance computing roles, supercomputing jobsData analysis roles, machine learning jobs

Remote Supercomputers focus on managing and utilizing high-performance computing resources for complex simulations and research, requiring specialized technical skills. Remote Data Scientists analyze large datasets using statistical and machine learning techniques, often leveraging cloud platforms. While both roles involve advanced technical expertise, they serve different industry needs and environments.

More about Remote Supercomputer jobs

What cities are hiring for Remote Supercomputer jobs?

Cities with the most Remote Supercomputer job openings:

What are the most commonly searched types of Supercomputer jobs?

The most popular types of Supercomputer jobs are:

What states have the most Remote Supercomputer jobs?

States with the most job openings for Remote Supercomputer jobs include:

What job categories do people searching Remote Supercomputer jobs look for?

The top searched job categories for Remote Supercomputer jobs are:

Remote Supercomputer jobs near you
Infographic showing various Remote Supercomputer job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 82% Physical, 10% Hybrid, and 8% Remote job distribution.

HPC Field Applications Engineer

NextSilicon

Minneapolis, MN • On-site, Remote

Full-time

Posted 19 days ago

Job description

Description
NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise of breakthroughs in all fields of advanced research.
At NextSilicon, everything we do is guided by three core values:
  • Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
  • Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
  • Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.

As we are preparing the launch of our 2nd and 3rd generation of accelerators we are strengthening our technical field sales support to help identify and qualify opportunities for our technology in different industry verticals as well as governmental and academic institutions in the American markets, pre-dominantly, but not exclusively, in the United States and Canada.
We are looking for an experienced HPC and AI application field support engineer to join our pre-sales engineering team. The ideal candidate brings already a broad work experience in different application areas (CFD, FEM, MD, Weather/Climate, QM, AI models, ...) to port, benchmark and optimize applications for different types of high performance computing technologies (CPUs, GPUs, FPGAs, etc). While strong hands-on work experience is a requirement, the candidate must have excellent communication skills, both orally and in writing, when discussing advantages of our unique approach to accelerating computing workloads to our customers and when gathering and summarizing new customer requirements for our research and development teams.
You will closely collaborate with sales and business development teams to identify and qualify new opportunities, leverage and grow your already existing client networks to help foster growth in our opportunity pipeline, formulate and justify new requirements for next generations of our hardware and software stack, liaise closely with technical experts and decision makers of our existing and potential customer base and provide consulting on how to maximize value from our technology for their specific use cases, conduct and lead performance studies, code porting and proof-of-concepts with our application support team and assist our sales partners in delivering winning proposals.
Location: Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote considered for exceptional candidates.
Travel: Ability and willingness to travel up to 40% predominantly in North-America, occasionally internationally, is required
Requirements
  • Bachelor of Science in an engineering discipline (computer science, mathematics, natural sciences or engineering) with a significant focus on scientific computing
  • Masters or Ph.D. with relevant specialization is a plus
  • At least 8 years of work experience in the field, of which at least 4 years should be in the commercial sector
  • If work experience is highly relevant to the field, supported by an excellent track record (e.g. publications), those with less years would be considered
  • Practical work experience with at least two computing architectures (CPUs, GPUs, FPGAs, vector processors, ...) is required
  • Practical expertise in at least two application areas is required (finite element methods, computational fluid dynamics, molecular dynamics, high-energy or astro physics, quantum chemistry, weather/climate simulations, AI training & inference frameworks)
  • Experience in at least two industry verticals are strongly desired (government, academic, finance, oil & gas, manufacturing, telecommunication, engineering or logistics)
  • A strong parallel programming experience using both MPI and OpenMP is required
  • A strong C/C++ and Fortran background is required
  • Fortran experience can be less, but willingness to learn and expand is required
  • UNIX (Linux) and shell programming experience is required
  • Python programming is a plus
  • Good presentation skills and soft skills in working with customers are essential
  • Strong technical writing skills are important(presentations, whitepapers, blogs, ...)
  • Examples of peer-reviewed publications are a plus
  • US citizenship with eligibility to visit US government research facilities

Responsibilities
As a professional you are highly self-motivated and results driven. There you are actively setting and pursuing weekly goals for yourself that assist in achieving your objectives:
  • Maintain and foster existing and create new contacts with clients, actively looking for new opportunities
  • Initiate, organize and lead proof-of-concept, benchmarking and code porting projects to win new business
  • Gather and qualify new important customer requirements; document and discuss them with product management and engineering
  • Providing competitive market insights and guidance to sales and engineering teams
  • Assist our partners in finding both standard and innovative answers to technical requirements and questions in proposals and help in providing concise descriptions and compelling value propositions to be included in their proposals
  • Assess and mitigate technology risks for our clients and our company
  • Present the value of our technology for different use cases in front of customers
  • Actively work and contribute towards achieving our sales targets and other KPIs
  • Actively report your activities and discuss your plans with your peers and management team
  • Grow your area of expertise (new classes of applications and market verticals, competitor awareness, new methodologies and relevant technical frameworks, familiarization with NextSilicons technologies.

Apply